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We propose a novel scenario called "writer retrieval" consisting in the retrieval from a set of documents all those produced by the same writer. The retrieval is based on a set of ten features correlated to perceived characteristics of the writing (orientation, regularity...). These features are extracted from the probability density function of the orientations of the writing contour. We...
A handwritten Tibetan database, MRG-OHTC, is presented to facilitate the research of online handwritten Tibetan character recognition. The database contains 910 Tibetan character classes written by 130 persons from Tibetan ethnic minority. These characters are selected from basic set and extension set A of Tibetan coded character set. The current version of this database is collected using electronic...
Writer identification still remains as a challenge area in the field of off-line handwriting recognition because only an image of the handwriting is available. Consequently, some information on the dynamic of writing, which is valuable for identification of writer, is unavailable in the off-line approaches, contrary to the on-line approaches where temporal and spatial information for the handwriting...
In this paper a new on-line handwriting recognition system for Arabic personal names based on Hidden Markov Model (HMM) is presented. The system is trained with the ADAB-database using two different methods: manually segmented characters and non-segmented words. This work presents a recognition system dealing with a large vocabulary of 2800 Arabic personal names using a new lexicon reduction method...
In this paper we propose a complete system for online stroke recovery from offline data. The key idea of our approach is to use a novel pen device which is able to embed meta information into the ink during writing the strokes. This pen-device overcomes the need to get access to any memory on the pen when trying to recover the information, which is especially useful in multi-writer or multi-pen scenarios...
The aim of this paper is to address the task of writer Identification of on-line handwriting. A new method for analytical on-line writer identification is proposed. However, although it is possible to measure the degree of handwriting irregularity thanks to the fractal dimension, the fractal analysis with a single exponent is not enough sufficient to characterize handwriting styles variation, instead,...
In this paper we present a new system for on-line Arabic handwriting recognition based on a new on-line graphemes segmentation technique that depends on the local writing direction. Baseline detection, delayed strokes detection, PAW (Piece of Arabic Word) main stroke construction, and characters construction from the basic graphemes are issues that are addressed in this paper. Experiments are performed...
Research and development of a character recognition systems in the past years has been matured with publicly available either free or commercial character recognition systems especially for isolated Latin characters in multiple languages. The character recognition problem itself can be considered as a mostly solved. Some problems that are still being worked on in this community are unconstrained handwritten...
This paper proposes an input method that enables letter input by applying a handwriting recognition technology even when input by the keyboard or hand writing is difficult. For the proposed system, a foot writing character by changing the position and weight of a load when the user pushes a board with the feet is detected and recognized. The results of the experiment by 10 subjects showed that 82...
Ancient manuscripts constitute a heritage to preserve for future generations and make it accessible to a wider audience. This heritage is unfortunately consulted by a minority of experts and researchers because of the lack of information on the existence of this national heritage. The problem is partly due to the fact that this manuscript heritage is stocked in libraries scattered around the country...
The software company FERK-Systems has been providing mobile health care information systems for various German medical services (e.g. Red Cross) for many years. Since handwriting is an issue in the medical and health care domain, a system for handwriting recognition on mobile devices has been developed within the last few years. While we have been continually improving the degree of recognition within...
This paper proposes an AV remote controller that can recognize pictograms and characters to control AV appliances, in which users write directly on the touch panel. To verify the proposal, we used an experimental device, employing an embedded MPU, supposing that the proposed device will be used in consumer appliances. The results, it has been verified that the AV remote controller can recognize the...
A new method is used for character segmentation from cursive Arabic words. The method is based on statistical approach which uses Normalization and rectification, coordinate transformation and clustering to extract ligatures. The output is then filtered to extract start, overlapped and end segment errors. After applying the filter the characters are completely isolated and ready for recognition. The...
This paper presents a preliminary study on conventional Jaccard Distance performance in recognizing shapes with and without pre processing tasks. This study also identified the pre processing tasks that should be conducted to improve recognition performance. Jaccard Distance is performed by measuring the asymmetric information on binary variable and the comparison between vectors component. It compared...
It is an open problem to extract stable and distinguishable features from force signals of handwriting signatures. Based on the writing habits and kinematics of human, a hypothesis was proposed that force signal at critical points, e.g. the starting, the turning and the ending of a signature. etc, consists of personalized features which can distinguish signatures of different persons. Using stroke...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
In this paper, we present a novel approach to separate connected symbols in online handwritten chemical formulas. The proposed method combines both the chemical structural characteristics and online information. The main process can be divided into three stages: preprocessing, location of connected point, and segmentation. In addition, organic ring, a common chemical structure, is much different from...
This competition scenario aims at a performance comparison of several automated systems for the task of signature verification. The systems have to rate the probability of authorship and non-authorship of signatures. In particular they have to determine whether questioned signatures are simulated disguised or the normal signature of the reference writer. Furthermore, the results will be compared to...
In this paper we describe the semi-automatic annotation tool for annotating online handwritten data of Indic scripts. The annotation of handwriting data is essential to train and test the recognizers. In this paper we briefly describe the XML representation for storing online handwritten data in Indian languages. We then describe the annotation tool which essentially annotates at stroke, character...
In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any number and order, writer independently. Learnt strokes are hierarchically agglomerated via Dynamic Time Warping based on their location and their number and stored accordingly. We experimentally validate our concept by showing...
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